New Show Hacker News story: Show HN: Dittofeed v0.5.0 – Self-host SMS and email customer messaging

Show HN: Dittofeed v0.5.0 – Self-host SMS and email customer messaging
4 by maxthegeek1 | 1 comments on Hacker News.
Hey HN, we’ve just released Dittofeed v0.5.0, with the primary change being the addition of SMS as a messaging channel. Dittofeed is an open source (MIT licensed) omnichannel customer engagement platform, similar to Customer.io and Iterable. We added: - Twilio-based SMS messaging. You can create SMS templates and customer journeys within Dittofeed. SMS is a great channel for B2C software companies, looking to engage with their users. For example, e-commerce businesses commonly use SMS to support checkout flows. We'll be making further enhancements to Dittofeed's SMS support in the coming weeks! - We added a new "Trait Exists" segmentation option, which can be used to create a segment of all users with phone numbers, for example. - We made some fairly large improvements to our settings UI. Big shout out to our contributor! https://ift.tt/iHBsEnf The full feature release blog post can be found here: https://ift.tt/tPYTlcg . Looking forward to your thoughts and feedback! Github Repo - https://ift.tt/6KqdlVW Demo - https://ift.tt/jyJG2W3 Docs - https://ift.tt/FCG9X2s

Comments

Post a Comment

Popular posts from this blog

New Show Hacker News story: Show HN: A local Python prototyping tool for Jupyter and Streamlit

Show HN: A local Python prototyping tool for Jupyter and Streamlit 4 by galenmarchetti | 0 comments on Hacker News. Hey HN! I built a local Python prototyping tool that is finally the Python development environment I've always wanted. It has a Jupyter notebook for data crunching, a database of your choice (Python or MongoDB), and a Streamlit app for building a frontend visualization. You can edit the Streamlit backend via an embedded VSCode editor, or locally on your own IDE. The best part for me is that the database connectors within Jupyter and Streamlit are configured out-of-the-box, so you don't need to spend time thinking about how to tie all that together - you can just pick the database you want to use and get going. Disclaimer: I do also work on the tool that deploys all this under the hood, but this project is a personal hackweek project that I threw together so I could develop Python apps on my own
Read more

New Show Hacker News story: Show HN: Natural language Twitter search using Codex

Show HN: Natural language Twitter search using Codex 3 by andyk | 0 comments on Hacker News. We built a structured search engine for Twitter called Bird SQL, available at https://ift.tt/7BU0hHb . Our search interface uses OpenAI Codex to translate natural language to SQL. Our backend then verifies the SQL, executes it, and displays the results on the web app. This makes large structured datasets like a scrape of Twitter easy for anyone to explore. As background, while working on text-to-SQL as a general problem, we came to believe one of its most powerful applications is as a search tool because: - SQL is hard to write by hand and prone to errors - It allows you to iterate quickly if you’re exploring a new dataset - A lot of contextual information that you’d normally have to internalize (e.g. your data’s schema) can be automatically generated and offloaded to the language model Using large language models (LLMs) like Codex to write the SQL for you means you don’t have to worry about...
Read more